NeuroXVocal introduces a dual-component system that both classifies and explains potential Alzheimer's Disease cases by analyzing picture-prompted speech patterns.

• Processes multiple data streams including acoustic features, textual content, and speech embeddings
• Combines classification capability with transparent explanations of key diagnostic factors
• Offers a non-invasive, accessible approach to early AD detection
• Evaluated and validated with medical professionals

This research represents a significant advancement in early AD diagnosis tools that could help clinicians identify at-risk patients earlier, potentially improving treatment outcomes and reducing healthcare costs through timely intervention.

NeuroXVocal: Detection and Explanation of Alzheimer's Disease through Non-invasive Analysis of Picture-prompted Speech